Computing trajectories in 3D space to avoid obstacles using systematic and stochastic search algorithms

This item is provided by the institution :
University of Macedonia   

Repository :
Psepheda - Digital Library and Institutional Repository   

see the original item page
in the repository's web site and access all digital files if the item*



Computing trajectories in 3D space to avoid obstacles using systematic and stochastic search algorithms (EN)

Μάρκου, Βασίλειος (EL)

Ρεφανίδης, Ιωάννης (EL)

Electronic Thesis or Dissertation (EN)
Text (EN)

2021-09-27T09:56:49Z
2021 (EL)


Διπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2021. (EL)
Approved for entry into archive by Κυριακή Μπαλτά ([email protected]) on 2021-09-27T09:56:49Z (GMT) No. of bitstreams: 3 license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) MarkouVasileiosMsc2021.pdf: 1397995 bytes, checksum: 72b00376e39a04bf821be47c8845d908 (MD5) MarkouVasileiosMscpresent2021.pdf: 776897 bytes, checksum: 78395e0182d086a7bfb1fd62c067b148 (MD5) (EN)
Made available in DSpace on 2021-09-27T09:56:49Z (GMT). No. of bitstreams: 3 license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) MarkouVasileiosMsc2021.pdf: 1397995 bytes, checksum: 72b00376e39a04bf821be47c8845d908 (MD5) MarkouVasileiosMscpresent2021.pdf: 776897 bytes, checksum: 78395e0182d086a7bfb1fd62c067b148 (MD5) Previous issue date: 2021-09-21 (EN)
Recent years have been characterized by great technological advances. When it became an option to exploit in industrial work, the tasks were automated with the use of robots. In this dissertation, we present a custom-made virtual robotic arm capable of constructing Jenga towers. In contrast with previous work, we do not use force sensors for placement detection. Furthermore, to demonstrate the robot controller 's extensibility in design, we run two different simulations, ending with two different structures. Simplicity and efficiency have been considered to achieve the desired results in the experiments above, raising the key points where computational costs cannot be reduced, while providing simple alternatives for the rest of some common issues in robotics. We also compare and present results concerning various topics regarding commonly used algorithms including A*, after implementing them for the purposes of this dissertation. (EN)
Submitted by ΒΑΣΙΛΕΙΟΣ ΜΑΡΚΟΥ ([email protected]) on 2021-09-24T15:39:43Z No. of bitstreams: 3 license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) MarkouVasileiosMsc2021.pdf: 1397995 bytes, checksum: 72b00376e39a04bf821be47c8845d908 (MD5) MarkouVasileiosMscpresent2021.pdf: 776897 bytes, checksum: 78395e0182d086a7bfb1fd62c067b148 (MD5) (EN)


Robotics (EN)
Jenga (EN)
Manipulator (EN)

Πανεπιστήμιο Μακεδονίας (EL)

Πρόγραμμα Μεταπτυχιακών Σπουδών στην Τεχνητή Νοημοσύνη και Αναλυτική Δεδομένων (EL)

Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές (EL)
http://creativecommons.org/licenses/by-nc-nd/4.0/




*Institutions are responsible for keeping their URLs functional (digital file, item page in repository site)